T. Amagasa

发表

XRel: a path-based approach to storage and retrieval of XML documents using relational databases

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2001, ACM Trans. Internet Techn..

An Improved Label-bag based Graph Anonymization based on Utility

Gautam Srivastava, T. Amagasa, H. Kitagawa, 2013 .

Predicting the decision making chemicals used for bacterial growth

T. Amagasa, Bei-Wen Ying, Kazuha Ashino, 2019, Scientific Reports.

XML Retrieval Using Structural Summary in Peer-to-Peer Environment

T. Amagasa, H. Kitagawa, Wu Chunhui, 2006 .

NommPred: Prediction of Mitochondrial and Mitochondrion-Related Organelle Proteins of Nonmodel Organisms

T. Amagasa, H. Kitagawa, T. Hashimoto, 2018, Evolutionary bioinformatics online.

AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion

Toshiyuki Amagasa, Katia Bourahmoune, T. Amagasa, 2019, IJCAI.

Mixed Encryption over Semi-Trusted Database

T. Amagasa, Hasan Kadhem, T. HiroyukiKitagawa, 2022 .

Named-entity recognition for a low-resource language using pre-trained language model

T. Amagasa, Hailemariam Mehari Yohannes, 2022, SAC.

Keyword Assignment to Images Using Sliding Windows

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2000, ADBIS-DASFAA Symposium.

A robust XML Node Numbering Scheme and its Management

Toshiyuki Amagasa, Takeharu Eda, Masatoshi Yoshikawa, 2002 .

Digest Creation of Video Data Recorded by Wearable Cameras Using Locational and Geographical Information

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2002, Wireless Information Systems.

A Bitemporal XML Data Model

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2001 .

DPNA-2005 Reviewers

Jonathan C. L. Liu, Leonard Barolli, Arjan Durresi, 2005, ICPADS.

Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations

Hiroyuki Kitagawa, Toshiyuki Amagasa, Hiroyoshi Ito, 2016, European-Japanese Conference on Information Modelling and Knowledge Bases.

Intelligent Posture Training: Machine-Learning-Powered Human Sitting Posture Recognition Based on a Pressure-Sensing IoT Cushion

T. Amagasa, Karlos Ishac, Katia Bourahmoune, 2022, Sensors.

A Novel Framework for Database Security Based on Mixed Cryptography

Hiroyuki Kitagawa, Toshiyuki Amagasa, Hasan Kadhem, 2009, 2009 Fourth International Conference on Internet and Web Applications and Services.

Supporting Insertion in an Encrypted Multi-Maps with Volume Hiding using Trusted Execution Environment

T. Amagasa, S. Ishihara, Chiemi Watanabe, 2022, DOLAP.

DEWS 2008 C 2-3 A Text-based Similarity Join for XML Data

T. Amagasa, H. Kitagawa, Lianzi Wen, 2008 .

A method of named entity recognition for Tigrinya

T. Amagasa, Hailemariam Mehari Yohannes, 2022, ACM SIGAPP Applied Computing Review.

Novel clustering framework using k- means (S k- means) for mining spatiotemporal structured climate data

T. Amagasa, Fei Chen, H. Kusaka, 2022 .

Augmented lineage: traceability of data analysis including complex UDF processing

T. Amagasa, H. Kitagawa, Akiyoshi Matono, 2022, The VLDB Journal.

Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs

Hiroyuki Kitagawa, Toshiyuki Amagasa, Takahiro Komamizu, 2019, IEICE Trans. Inf. Syst..

Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs

Hiroyuki Kitagawa, Toshiyuki Amagasa, Takahiro Komamizu, 2018, EDBT/ICDT Workshops.

GPU-Accelerated Graph Clustering via Parallel Label Propagation

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2017, CIKM.

Exploring Identical Users on GitHub and Stack Overflow

Hiroyuki Kitagawa, Yasuhiro Hayase, Toshiyuki Amagasa, 2017, SEKE.

RDF packages: a scheme for efficient reasoning and querying over large-scale RDF data

Hiroyuki Kitagawa, Toshiyuki Amagasa, Shohei Ohsawa, 2010, Int. J. Web Inf. Syst..

Region-based Sub-Snapshot (RegSnap): Enhanced Fault Tolerance in Distributed Stream Processing with Partial Snapshot

T. Amagasa, H. Kitagawa, Takdir, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Accelerating Set Similarity Joins Using GPUs

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2016, Trans. Large Scale Data Knowl. Centered Syst..

GPU Acceleration of Set Similarity Joins

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2015, DEXA.

Predicting the decision making chemicals used for bacterial growth

T. Amagasa, Bei-Wen Ying, Kazuha Ashino, 2019, Scientific Reports.

An Indexing Scheme for RDF and RDF Schema based on Suffix Arrays

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2003, SWDB.

DIO: Efficient interactive outlier analysis over dynamic datasets

Hiroyuki Kitagawa, Toshiyuki Amagasa, Chihiro Sakazume, 2017, 2017 Twelfth International Conference on Digital Information Management (ICDIM).

Distance-Based Outlier Detection over Uncertain Data

Hiroyuki Kitagawa, Toshiyuki Amagasa, Le Guo, 2011 .

SILVERRUSH X: Machine Learning-aided Selection of 9318 LAEs at z = 2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 from the HSC SSP and CHORUS Survey Data

T. Nagao, T. Amagasa, K. Shimasaku, 2021, The Astrophysical Journal.

Scaling Fine-grained Modularity Clustering for Massive Graphs pdf

Hiroyuki Kitagawa, Toshiyuki Amagasa, Hiroaki Shiokawa, 2019, IJCAI.

Accelerating All 5-Vertex Subgraphs Counting Using GPUs

Hiroyuki Kitagawa, Toshiyuki Amagasa, Shuya Suganami, 2020, DEXA.

Missing information in imbalanced data stream: fuzzy adaptive imputation approach

Toshiyuki Amagasa, Nor Ashidi Mat Isa, Rahat Hossain Faisal, 2021, Applied Intelligence.

Frequent-Pattern Based Facet Extraction from Graph Data

Hiroyuki Kitagawa, Toshiyuki Amagasa, Takahiro Komamizu, 2014, 2014 17th International Conference on Network-Based Information Systems.

PrIvacy Risks And Countermeasures In Publishing And Mining Social Network Data

Ling Liu, Chiemi Watanabe, Toshiyuki Amagasa, 2011, 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).

Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction

Marc G. Carmichael, T. Amagasa, Karlos Ishac, 2022, 2022 IEEE International Conference on Big Data (Big Data).

QRS: a robust numbering scheme for XML documents

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

Autonomic active learning strategy using cluster-based ensemble classifier for concept drifts in imbalanced data stream

K. M. Azharul Hasan, T. Amagasa, Bohnishikhan Halder, 2023, Expert Syst. Appl..

A Mapping Scheme of XML Documents into Relational Databases using Schema-based Path Identi.ers

Toshiyuki Amagasa, Masatoshi Yoshikawa, Kei Fujimoto, 2005, International Workshop on Challenges in Web Information Retrieval and Integration.

A Path-based Relational RDF Database

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2005, ADC.

SPOOL: a SPARQL-based ETL framework for OLAP over linked data

Hiroyuki Kitagawa, Toshiyuki Amagasa, Takahiro Komamizu, 2015, iiWAS.

An Efficient Pathway Search Using an Indexing Scheme for RDF

Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, 2003 .

An implementation of interval based conceptual model for temporal data

Toshiyuki Amagasa, Masayoshi Aritsugi, Yoshinari Kanamori, 1999 .

Processing XPath Queries in PC-Clusters Using XML Data Partitioning

Hiroyuki Kitagawa, Toshiyuki Amagasa, Kentarou Kido, 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

Label-bag based Graph Anonymization via Edge Addition

Gautam Srivastava, Hiroyuki Kitagawa, Toshiyuki Amagasa, 2014, C3S2E.

Recommending Extract Method Refactoring Based on Confidence of Predicted Method Name pdf

Yasuhiro Hayase, Toshiyuki Amagasa, Jinto Yamanaka, 2021, ArXiv.

Accelerating Regular Path Queries using FPGA

Hiroyuki Kitagawa, Toshiyuki Amagasa, Kento Miura, 2019, ADMS@VLDB.

GPU Acceleration of Content-Based Image Retrieval Based on SIFT Descriptors

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2016, 2016 19th International Conference on Network-Based Information Systems (NBiS).

A System for Visualizing Gene Expressions Using Metabolic Networks

Toshiyuki Amagasa, Shunsuke Uemura, Shigehiko Kanaya, 2003 .

A System for Phylogenetic Analyses over Alignments of Next Generation Sequence Data

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yuki Nishimura, 2016, 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS).

Question Answering Over Knowledge Base: A Scheme for Integrating Subject and the Identified Relation to Answer Simple Questions

Toshiyuki Amagasa, Happy Buzaaba, T. Amagasa, 2021, SN Computer Science.

Probabilistic Frequent Itemset Mining on a GPU Cluster

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2014, IEICE Trans. Inf. Syst..

GPU acceleration of probabilistic frequent itemset mining from uncertain databases

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2012, CIKM.

GPU-Accelerated Vertex Orbit Counting for 5-Vertex Subgraphs

Toshiyuki Amagasa, Shuya Suganami, T. Amagasa, 2021, DEXA.

Tag-based User Topic Discovery Using Twitter Lists

Hiroyuki Kitagawa, Yuto Yamaguchi, Toshiyuki Amagasa, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

TURank: Twitter User Ranking Based on User-Tweet Graph Analysis

Hiroyuki Kitagawa, Yuto Yamaguchi, Toshiyuki Amagasa, 2010, WISE.

Chiemi Watanabe, Hiroyuki Kitagawa, Toshiyuki Amagasa, 2017, iiWAS.

DBPowder: A Flexible Object-Relational Mapping Framework Based on a Conceptual Model

Hiroyuki Kitagawa, Toshiyuki Amagasa, Tadashi Murakami, 2013, 2013 IEEE 37th Annual Computer Software and Applications Conference.

A Multidimensional Data Structure for Maintaining XML Data Partitions

Hiroyuki Kitagawa, Toshiyuki Amagasa, Imam Machdi, 2008 .

Cube-Based Analysis for Maintaining XML Data Partition for Holistic Twig Joins

Hiroyuki Kitagawa, Toshiyuki Amagasa, Imam Machdi, 2008 .

Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams

Hiroyuki Kitagawa, Yuto Yamaguchi, Toshiyuki Amagasa, 2014, CIKM.

Interleaving Clustering of Classes and Properties for Disambiguating Linked Data

Hiroyuki Kitagawa, Toshiyuki Amagasa, Takahiro Komamizu, 2016, ICADL.

Supporting Viewpoints to Review the Lack of Requirements in Space Systems with Machine Learning

Toshiyuki Amagasa, Yasushi Ueda, Naoko Okubo, 2020, 2020 IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS).

The L - index: An indexing structure for ecient subsequence matching in time sequence databases

Toshiyuki Amagasa, Masatoshi Yoshikawa, Y. Morinaka, 2001 .

MV-OPES: Multivalued-Order Preserving Encryption Scheme: A Novel Scheme for Encrypting Integer Value to Many Different Values

Hiroyuki Kitagawa, Toshiyuki Amagasa, Hasan Kadhem, 2010, IEICE Trans. Inf. Syst..

An Optimization Scheme for Non-Negative Matrix Factorization Under Probability Constraints

Toshiyuki Amagasa, Hiroyoshi Ito, T. Amagasa, 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).

Network-Word Embedding for Dynamic Text Attributed Networks

Hiroyuki Kitagawa, Toshiyuki Amagasa, Takahiro Komamizu, 2018, 2018 IEEE 12th International Conference on Semantic Computing (ICSC).

Tagging users based on Twitter lists

Hiroyuki Kitagawa, Yuto Yamaguchi, Toshiyuki Amagasa, 2012, Int. J. Web Eng. Technol..

A Method for Searching Documents using Knowledge Bases

Hiroyuki Kitagawa, Toshiyuki Amagasa, Taro Aso, 2021, iiWAS.

A system for relation-oriented faceted search over knowledge bases

Hiroyuki Kitagawa, Toshiyuki Amagasa, Taro Aso, 2021, Int. J. Web Inf. Syst..

Buffer-based adaptive fuzzy classifier

T. Amagasa, S. Belhaouari, M. Ahmed, 2022, Applied intelligence (Boston).

Long Text Classification Using Pre-trained Language Model for a Low-Resource Language

T. Amagasa, Hailemariam Mehari Yohannes, 2023, 2023 6th International Conference on Information and Computer Technologies (ICICT).

A graph-based blocking approach for entity matching using pre-trained contextual embedding models

T. Amagasa, John Bosco Mugeni, Toshiyuki Amagasa, 2022, SAC.

Efficient Content-based Image Retrieval for Position Estimation on GPU

Hiroyuki Kitagawa, Toshiyuki Amagasa, Yusuke Kozawa, 2017, MoMM.